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SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
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VLDB '05 Proceedings of the 31st international conference on Very large data bases
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Routing and processing multiple aggregate queries in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Multi-query optimization for sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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IEEE Transactions on Wireless Communications
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DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
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Abstract: Aggregate queries are one of the most important queries in sensor networks. Especially, group-by aggregate queries can be used in various sensor network applications such as tracking, monitoring, and event detection. However, most research has focused on aggregate queries without a group-by clause. In this paper, we propose a framework, called the G-Framework, to effectively process continuous group-by aggregate queries in the environment where sensors are grouped by the geographical location. In the G-Framework, we can perform energy effective data aggregate processing and dissemination using two-dimensional Haar wavelets. Also, to process continuous group-by aggregate queries with a HAVING clause, we divide data collection into two phases. We send only non-filtered data in the first collection phase, and send data requested by the leader node in the second collection phase. Experimental results show that the G-Framework can process continuous group-by aggregate queries effectively in terms of energy consumption.